Six-Month Persistence and Multi-domain Effectiveness of Guselkumab in Adults with Psoriatic Arthritis: Real-World Data from the CorEvitas Psoriatic Arthritis/Spondyloarthritis Registry
Bibliographic record
Abstract
INTRODUCTION: The aim of this work is to evaluate treatment persistence and clinical outcomes after 6 months of on-label guselkumab use in patients with rheumatologist-diagnosed active psoriatic arthritis (PsA) enrolled in the CorEvitas PsA/Spondyloarthritis Registry. METHODS: Participants with PsA who initiated and persisted with on-label guselkumab use post-Food and Drug Administration (FDA) approval for active PsA (7/13/2020; subcutaneous 100 mg at weeks 0, 4, and every 8 weeks) at their 6-month follow-up visit (occurring through 3/31/2023) comprised the primary analysis population (On-Label Persisters). Hierarchical, multiplicity-controlled primary and secondary outcomes were mean (95% confidence interval) changes from baseline at 6 months in clinical Disease Activity Index for PsA (cDAPSA; primary), Physician Global Assessment (PGA) of arthritis and psoriasis (visual analog scale [VAS] 0-100), patient-reported pain (VAS 0-100), and percent body surface area with psoriasis (%BSA). Paired t tests determined changes that were statistically significantly different from 0 (α = 0.05). RESULTS: Among 114 patients who initiated on-label guselkumab and had eligible baseline and 6-month visits, 90 (78.9%) had persistent use. Among these On-Label Persisters at baseline, mean duration of PsA symptoms = 13.6 years; mean cDAPSA, PGA, and patient-reported pain = 22.0, 42.3, and 57.0, respectively; 94.4% had a history of psoriasis (mean BSA 7.6%); and 18.9% and 73.3%, respectively, previously received 1 or ≥ 2 biologic/targeted synthetic disease-modifying antirheumatic drugs. The mean change (improvement) in cDAPSA was - 5.4 (- 8.5, - 2.3; p < 0.001) at 6 months. Significant mean improvements in PGA (- 19.0 [- 24.2, - 13.8]), patient-reported pain (- 9.1 [- 14.4, - 3.8]), and %BSA (- 5.1 [- 7.6, - 2.7]) were also observed (all p < 0.001). CONCLUSIONS: In this real-world PsA population, generally characterized by longstanding, treatment-resistant, active disease at baseline, persistent guselkumab use in nearly 80% of patients with on-label use was accompanied by significant improvements in joint and skin symptoms and patient-reported pain at 6 months. These registry data support results from randomized clinical trials demonstrating the efficacy of guselkumab in improving PsA signs and symptoms. TRIAL REGISTRATION: clinicaltrials.gov: NCT02530268.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".